David Cliff

61 papers receiving 796 citations

Peers

David Cliff
Comparison fields: 5 of 119
  • Radiological and Ultrasound Technology 277
  • Medical Laboratory Technology 73
  • Statistics, Probability and Uncertainty 202
  • Fuel Technology 10
  • Ocean Engineering 151
Replace Roland Akselsson with:
Roland Akselsson Sweden
Haifei Lin China
Nijs Jan Duijm Denmark
Boling Zhang China
R. Larry Grayson United States
Liangguo Kang China
Zhenlu Shao China
Noor Quddus United States
J. E. Strutt United Kingdom
Ping Huang China
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Citations per year

Countries citing papers authored by David Cliff

Since Specialization
Citations

This map shows the geographic impact of David Cliff's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Cliff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cliff more than expected).

Fields of papers citing papers by David Cliff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Cliff. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Cliff. The network helps show where David Cliff may publish in the future.

Co-authors

The 25 scholars most cited alongside David Cliff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Cliff Line = papers co-authored together David Cliff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018110
2 201883
3 201776
4 201773
5 201857
6 197953
7 198448
8
Workforce turnover in FIFO mining operations in Australia: an exploratory study
200342
9 202130
10
Spontaneous combustion in Australian underground coal mines
199627
11 197920
12 201820
13 202116
14 201913
15
COMPARATIVE ANALYSIS OF COAL FATALITIES IN AUSTRALIA, SOUTH AFRICA, INDIA, CHINA AND USA, 2006-2010
201413
16
Large scale laboratory testing of the spontaneous combustibility of Australian coals
199812
17
Industry scale knowledge management: RISKGATE and Australian coal operations
201310
18 201310
19 19859
20 19978

About David Cliff

David Cliff is a scholar working on Radiological and Ultrasound Technology, Ocean Engineering, Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Organizational Behavior and Human Resource Management, having authored 68 papers that have together received 863 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (20 papers), Coal Properties and Utilization (16 papers), Risk and Safety Analysis (15 papers), Safety and Risk Management (12 papers), Fire Detection and Safety Systems (6 papers), Geoscience and Mining Technology (6 papers), Quality and Safety in Healthcare (6 papers) and Air Quality and Health Impacts (5 papers). The work is most often cited by research in Radiological and Ultrasound Technology (277 citations), Medical Laboratory Technology (73 citations), Statistics, Probability and Uncertainty (202 citations), Fuel Technology (10 citations) and Ocean Engineering (151 citations). David Cliff has collaborated with scholars based in Australia, China and Ghana. Frequent co-authors include Eric Stemn, Carmel Bofinger, Maureen Hassall, Greg You, Jinjia Zhang, Kaili Xu, David Brereton, B. A. Thrush, Felipé Gonzalez and Peter D. Erskine. Their work appears in journals such as Fuel, Safety Science, Chemical Physics Letters, Process Safety and Environmental Protection and The Science of The Total Environment.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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